阿塞拜疆与乌兹别克斯坦：35 °C 以上天数

2014 年35 °C 以上天数：阿塞拜疆为 14.1 天，乌兹别克斯坦为 51.1 天（CMIP6 气候模型中位数模拟）。 2014 年乌兹别克斯坦的数值较高，高出 37 天，是阿塞拜疆的 3.61 倍。

每年天数 · CMIP6

阿塞拜疆乌兹别克斯坦CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

自 1950 年以来，在两国都有数据的每一年，乌兹别克斯坦的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年阿塞拜疆为 31.3 天，乌兹别克斯坦为 81.9 天。

逐年数据

每年天数 · CMIP6

年份	阿塞拜疆	乌兹别克斯坦
2014	14.1	51.1
2013	12.6	47.8
2012	12.8	48
2011	11.1	47.1
2010	12.2	44
2009	12.2	48.2
2008	11.7	45.4
2007	11.8	46
2006	11.6	46.4
2005	12.3	45.6
2004	10.7	44.2
2003	11.8	44.8
2002	11.8	46.3
2001	11.8	43.2
2000	11.8	43.1
1999	11	43
1998	10.6	42.4
1997	11.2	43.2
1996	10.8	41.3
1995	9.7	39
1994	7.9	37.3
1993	7.7	34.1
1992	6.7	34.7
1991	7.8	39.2
1990	9.6	40.5
1989	8.3	38.5
1988	8.7	39
1987	9.1	40.2
1986	8.1	35
1985	9.1	39.8
1984	6.9	33.6
1983	5.4	29.4
1982	7.9	38.2
1981	8.4	37.2
1980	7.7	36
1979	8.4	37.4
1978	7.1	33.8
1977	7.7	36.3
1976	7.5	34.8
1975	7.7	35
1974	7.7	32.4
1973	6.9	32.8
1972	7.9	35.2
1971	8.2	33.3
1970	7.3	34.1
1969	8.1	34.9
1968	8	32.2
1967	8	33.9
1966	6.9	33.5
1965	7.2	33.5
1964	7	34
1963	7.7	33.9
1962	7.2	35.1
1961	7.8	35.6
1960	7.7	35.1
1959	8	35.5
1958	8.6	39.4
1957	8	36.9
1956	8.6	36
1955	8.3	35
1954	8.3	37.3
1953	8.8	33.1
1952	7.8	36.8
1951	8.3	37.1
1950	7.8	36.5

CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100

年份	阿塞拜疆	乌兹别克斯坦
2015	17.411.5–24.4	53.242.8–65.6
2016	15.98.8–23.3	51.440.4–66
2017	16.67.3–22.3	53.240.4–62.3
2018	16.48.2–24.1	53.238.2–66
2019	15.69.6–22.7	52.742.1–65.6
2020	16.99.5–24	51.942.7–65.8
2021	15.99.2–24.2	53.139.8–65.5
2022	1710.5–25	53.342.7–65.5
2023	18.510.8–25.4	58.444.9–67.8
2024	17.59.8–24.9	56.440.8–67.7
2025	17.912–24.5	57.446.6–69.2
2026	17.311.9–23.4	55.742.1–68.3
2027	18.112.4–28.8	55.544.4–71.7
2028	17.811.2–24.3	57.445.1–72
2029	17.610.9–25.4	54.542.4–70.3
2030	18.311.7–27.6	58.245.9–69.5
2031	21.213.5–31.2	61.950.6–73.3
2032	21.512.1–28.6	62.247.6–75.3
2033	21.712.9–30.3	6046.5–75.7
2034	1912.5–26.6	57.644.4–75
2035	21.512.8–27.8	62.245–74.7
2036	21.313.3–30	60.946.3–74.3
2037	21.614.5–29.5	62.250–73.5
2038	22.214–32	64.348.8–75.4
2039	21.415–32.2	59.847.7–72.4
2040	23.310.9–32.6	63.946.1–78.6
2041	2214–29.3	6549–76.7
2042	21.815.3–30.1	6449.5–78.2
2043	22.415.7–29.1	61.949–74.6
2044	23.413.9–34.9	65.950.6–79.4
2045	24.416.1–34.9	6447.4–78.3
2046	24.516.9–33.6	65.252.7–79.3
2047	24.516.1–32.7	66.651.9–82.5
2048	25.115.3–34	6751.1–79.9
2049	24.316.4–32.7	67.954.2–81.7
2050	26.818.6–34.2	70.556.6–84.2
2051	24.517–32.1	65.853.5–78.7
2052	24.817.4–33.8	68.655–80.8
2053	26.217.9–34.2	69.454–81.4
2054	23.915.9–34.5	70.454.4–83.4
2055	28.117.3–38.4	70.353.6–84.8
2056	26.418.6–37.7	73.355.5–86.8
2057	28.820.4–39.6	73.259.6–86
2058	28.217.3–39.9	70.652.7–86.7
2059	26.517.6–36.2	68.656.6–84.9
2060	26.217.4–37.6	72.258.7–85.6
2061	27.818.9–43	70.457.8–84.3
2062	27.117.2–39.6	72.155.1–85.7
2063	30.114.2–41.4	73.954.1–87.6
2064	27.814.3–42.3	70.648.3–88.6
2065	29.719–41.3	77.458.9–90
2066	26.414.3–38.2	70.459.3–86.3
2067	26.217.5–38.3	72.456.1–89.4
2068	28.818.6–39.1	7460.3–88.2
2069	2918.2–39.3	74.658.2–88.4
2070	28.919.6–40	73.260–90
2071	28.820.6–43.1	75.260.7–91.1
2072	30.418.4–42.2	74.557–92.2
2073	31.216.7–46.1	76.259.1–94.8
2074	30.419.4–41.2	77.560.3–92.6
2075	31.518.9–41.5	76.162.2–89.9
2076	29.519.8–42.7	7458.2–94.5
2077	28.920.8–42.3	77.461.9–91.9
2078	30.422.1–41.8	7761.5–91.6
2079	29.919.2–42.2	74.661.6–92.1
2080	31.722.6–46.6	76.660.5–94.8
2081	33.723.2–45.6	76.961–92.6
2082	31.921.1–41.5	7861.8–91.8
2083	36.222.3–47.9	79.462.4–94.6
2084	34.421.4–44.7	77.458.7–92.4
2085	30.819.9–44.7	77.159.8–95.9
2086	32.420.3–45.7	78.758.5–93.6
2087	34.522.1–44.9	78.564.7–93.2
2088	34.221.4–48.3	78.961.2–95
2089	3323–49.3	79.660.3–96.8
2090	35.221.2–49.8	81.262.6–99
2091	33.921.7–47.6	81.162.7–98.4
2092	35.320.8–46.3	82.461.6–94.6
2093	34.720.9–48.5	80.463.8–93.7
2094	36.323.8–50.6	80.465.6–100.1
2095	3420.2–48.4	82.161.5–97.2
2096	34.222.2–46.3	83.867.6–98.6
2097	35.923.9–46.9	82.366.7–95.9
2098	32.820.2–48.5	83.565.5–96.9
2099	3322.6–43.9	82.164.4–97.6
2100	31.322.3–46.3	81.964.6–101.3

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须知

一年中最高气温超过 35 °C 的天数，取全国平均。
来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

各图层如何运作、数据从何而来，以及它们无法告诉你什么：历年各国数据

阿塞拜疆与乌兹别克斯坦对比

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冲突

冲突死亡人数阿塞拜疆：2022 年为 155 人死亡乌兹别克斯坦：2022 年为 0 人死亡